Xiaoli Ma

1.4k citations
116 papers · 909 · h-index 16

Impact in

Papers in

Xiaoli Ma

109 papers receiving 902 citations

Peers

Xiaoli Ma
Comparison fields: 5 of 109
  • Neurology 213
  • Cancer Research 121
  • Oncology 171
  • Immunology 97
  • Genetics 42
Replace Rina Takahashi with:
Rina Takahashi Japan
Xicai Sun China
Nan Cheng China
Tetsuro Sameshima Japan
Marjorie Flahaut Switzerland
Zhenguang Chen China
Roberta Lotti Italy
Jue Wang China
Takashi Kasahara Japan
Aijun Zhang China
Xiaoli Ma relative to Rina Takahashi Japan Rina Takahashi's profile →
Citations per field
00.5×6.1×
Rina Takahashi · 1×
Citations per year

Countries citing papers authored by Xiaoli Ma

Since Specialization
Citations

This map shows the geographic impact of Xiaoli Ma's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Xiaoli Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoli Ma more than expected).

Fields of papers citing papers by Xiaoli Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Xiaoli Ma. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Xiaoli Ma. The network helps show where Xiaoli Ma may publish in the future.

Co-authors

The 25 scholars most cited alongside Xiaoli Ma, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Xiaoli Ma Line = papers co-authored together Xiaoli Ma links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 116 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201686
2
Use of virtual reality (immersive vs. non immersive) for pain management in children and adults: A systematic review of evidence from randomized controlled trials
201253
3 201441
4 201837
5 202026
6 201726
7 201925
8 201824
9
Clinical characteristics and prognosis of childhood rhabdomyosarcoma: a ten-year retrospective multicenter study.
201523
10 202019
11 202019
12 201918
13 201617
14 201717
15 201717
16 201716
17 201715
18 201215
19 201915
20 202015

About Xiaoli Ma

Xiaoli Ma is a scholar working on Neurology, Molecular Biology, Oncology, Pulmonary and Respiratory Medicine and Surgery, having authored 116 papers that have together received 909 indexed citations. Recurring topics across this work include Neuroblastoma Research and Treatments (35 papers), Acute Lymphoblastic Leukemia research (9 papers), Congenital Diaphragmatic Hernia Studies (7 papers), Cancer, Hypoxia, and Metabolism (6 papers), Sarcoma Diagnosis and Treatment (6 papers), CAR-T cell therapy research (6 papers), Lung Cancer Research Studies (5 papers) and Esophageal Cancer Research and Treatment (4 papers). The work is most often cited by research in Neurology (213 citations), Cancer Research (121 citations), Oncology (171 citations), Immunology (97 citations) and Genetics (42 citations). Xiaoli Ma has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Wen Zhao, Zhixia Yue, Mei Jin, Yan Su, Chao Duan, Pengfei Tu, Qian Yu, Yong Jiang, Ke‐Wu Zeng and Huanmin Wang. Their work appears in journals such as Medicine, Pediatric Blood & Cancer, Blood, Translational Pediatrics and Annals of Oncology.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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